Few Shot Learning
Few Shot Learning

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Products and services for "Few Shot Learning"

9 companies for "Few Shot Learning"

Visual One's Logo

San Francisco, United States

1-10 Employees

2019

Empower your products with computer vision models that can learn complex tasks using only a few samples.Set up and use our Python API in 5 minutes. Or integrate VEDX into your products easily using our REST API. Deep learning models require hundreds or thousands of samples to learn a new task. We have built a novel Few Shot Learning framework, named VEDX, which is capable of doing just that. For simple tasks, you can train a model using only a few samples and for more complex tasks, you can train a model using 10-20 samples to achieve high accuracy.

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Core business
Image for Visual One

Visual One

... A Novel Few Shot Learning ...

Prodigy's Logo

Prodigy is a scriptable annotation tool so efficient that data scientists can do the annotation themselves, enabling a new level of rapid iteration. Today’s transfer learning technologies mean you can train production-quality models with very few examples. With Prodigy you can take full advantage of modern machine learning by adopting a more agile approach to data collection. Prodigy brings together state-of-the-art insights from machine learning and user experience. The web application is powerful, extensible and follows modern UX principles.

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Product
Image for Large Language Models · Prodigy · An annotation tool for AI, Machine Learning & NLP

Large Language Models · Prodigy · An annotation tool for AI, Machine Learning & NLP

... This includes services that provide large language models that offer zero/few-shot learning. Prodigy provides a few built-in recipes to help you get started. ...

Bondzai's Logo

Montpellier, France

1-10 Employees

2021

Davinsy, the world’s first cloudless artificial intelligence of Things (AIoT) system. More than 30% of industrial AI projects are stuck in collecting and building a data set that should reflect the accuracy of the final application in its real environment. We solved the problem of starting to learn with little or even no data set.We learn from real data captured live by the embedded system in a fraction of a second without the need for giant infrastructure such as cloud-based computing.We build the dataset while the embedded system is running in the field, giving it a high level of adaptability to context changes. The company has successfully broken through the “sound barrier” of AI workflow complexity and is now launching the world’s first data-driven virtual pattern control system, called DavinSy, to market. It is now possible to continuously learn from “live” data to guarantee the performances of embedded AI models just-in-time.

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Core business
Image for Edge Artificial Intelligence Solutions - Bondzai

Edge Artificial Intelligence Solutions - Bondzai

... Deeplomath, data structure and few-shot learning ...

Hadrian's Logo

Amsterdam, Netherlands

11-50 Employees

2021

Hadrian is modernizing offensive security practices with automation, making security teams faster and more scalable. Continuously equipped with the hacker’s perspective, companies make themselves harder to hack. In 2009, at only 13 years old, Rogier Fischer and Olivier Beg met each other at an online forum. They quickly figured out they had a shared passion for breaking things that were not supposed to be broken. They soon started working together as white-hat hackers for many Dutch financial institutions and international technology companies.

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Image for Technology - Hadrian

Technology - Hadrian

... Few-Shot Learning ...

Mindtrace's Logo

Manchester, United Kingdom

1-10 Employees

2017

Learn about Mindtrace and the technology behind our Brain-Sense™ AI platform. Deliver AI Brains that closely resemble human brains that perceive, understand and continuously learn. Deliver AI capabilities closer to human-level intelligence, through the use of unlabelled data, unsupervised few-shot learning, and continuous learning. Mindtrace set out on a mission to push the boundaries of Artificial Intelligence and reimagine the possibilities of this technology. Now, in 2022, Mindtrace is the proud creator of the next generation of AI, Brain-Sense™ .

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Product
Image for Technology - Mindtrace

Technology - Mindtrace

... Few-shot learning ...

Replicant's Logo

San Francisco, United States

11-50 Employees

2017

Replicant’s Thinking Machine listens and talks like a human so your customers can too. Deliver a consistent customer experience, in any language, using one shared intent library across all of your support channels. Our Large Language Model layer delivers increased resolutions, lower average handle times and faster deployment. Get visibility into all support conversations and analyze insights from conversation data, success rates, unsupported call flows, CSAT, self-serve script edits, and more. Whether it’s one of the industry-leading CCaaS platforms or a homegrown CRM, we seamlessly integrate to quickly deploy in weeks instead of months or years.

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Product
Image for LLMs for Automated Customer Service | Replicant's LLM Layer

LLMs for Automated Customer Service | Replicant's LLM Layer

... Few Shot Learning ...

Talentica's Logo

Pune, India

251-500 Employees

2003

We are now among India's top 75 Great Mid-size Workplaces 2022. We dream your dream to build technology products that disrupt the world. Startups had just started outsourcing product development offshore. Offshore vendors were trying to use processes designed for large IT outsourcing projects while working with startups. Nitin and Manjusha realized that there was a need for a new way of working designed solely for startups.

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Image for Software Product Development Company | Talentica

Software Product Development Company | Talentica

... Data Science Bows Before Prompt Engineering and Few Shot Learning ...

Project-AGI's Logo

Melbourne, Australia

1-10 Employees

2016

We are interested in the interactions of brain regions with complementary functions and timescales. For example, left and right hemispheres and slow and fast learning between neocortex and hippocampus. Our focus is computational descriptions that are implementable. We created an architecture with hemispheric specialization to better understand the brain and uncover new principles for AI. We found that replay improves continual few-shot learning significantly, for learning classes as well as specific instances.

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Core business
Image for Home - Cerenaut

Home - Cerenaut

... Continual few-shot learning with Hippocampal-inspired ...

Cogent Labs's Logo

Tokyo, Japan

51-100 Employees

2015

Prior to founding Cogent Labs, Eric Whiteway was a Managing Director at Morgan Stanley for 16 years where he led Risk Trading and Proprietary Algorithmic Trading in Japan. An alumnus of Columbia University, he studied Computer Science and Operations Research. Excited by the advances and prospects of Deep Learning and its potential applications, Eric founded Cogent Labs in 2014. Kyoji Kimoto has 20 years of experience in auditing, financial consulting and corporate investment, including a tenure at Deloitte Tohmatsu FAS and Deutsche Securities, as well as founding a financial advisory business. Since becoming independent, he has provided support and consulting services for numerous IPOs and has managed more than 50 M&A deals up to date, and has diverse knowledge in finance and management.

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Core business
Image for R&D | Cogent Labs

R&D | Cogent Labs

... Adaptive Posterior Learning: few-shot learning with a surprise-based memory ...

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„Few Shot Learning“

Few-shot learning is a machine learning technique where a model is trained on a small number of examples from each class, usually only one or a few examples. This is in contrast to traditional machine learning techniques which require large amounts of labeled data for training. The goal of few-shot learning is to quickly learn new classes with minimal training, allowing the model to quickly adapt to new tasks.